{"id":18752,"date":"2024-02-29T14:45:19","date_gmt":"2024-02-29T14:45:19","guid":{"rendered":"https:\/\/uxmag.com\/?post_type=podcast&#038;p=18752"},"modified":"2024-07-31T13:30:25","modified_gmt":"2024-07-31T13:30:25","slug":"llm-more-like-limited-language-model-with-emily-m-bender-university-of-washington","status":"publish","type":"podcast","link":"https:\/\/uxmag.com\/podcast\/llm-more-like-limited-language-model-with-emily-m-bender-university-of-washington","title":{"rendered":"LLM? More Like &#8220;Limited&#8221; Language Model with Emily M. Bender, University of Washington"},"content":{"rendered":"<p>As a co-author of the often cited (and debated) Stochastic Parrots paper from 2021, Emily M. Bender is a staunch critic of large language models (LLMs). Having worked in computational linguistics for more than 20 years, Emily&#8217;s deep understanding of LLM mechanics has her questioning many of the emerging use cases we see in the world. She joins Robb and Josh for a provocative exploration of generative AI on an important episode of Invisible Machines.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>As a co-author of the often cited (and debated) Stochastic Parrots paper from 2021, Emily M. Bender is a staunch critic of large language models (LLMs). Having worked in computational linguistics for more than 20 years, Emily&#8217;s deep understanding of LLM mechanics has her questioning many of the emerging use cases we see in the world. She joins Robb and Josh for a provocative exploration of generative AI on an important episode of Invisible Machines.<\/p>\n","protected":false},"author":2575,"featured_media":18753,"menu_order":0,"template":"","format":"standard","tags":[],"guest":[2980],"podcast-topic":[3154,3160,3159,3158,3153,3155],"class_list":{"0":"post-18752","1":"podcast","2":"type-podcast","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"guest-emily-m-bender","8":"podcast-topic-ai-agents-and-intelligent-digital-workers","9":"podcast-topic-customer-experience","10":"podcast-topic-employee-experience","11":"podcast-topic-high-level-thinking","12":"podcast-topic-hyperautomation-and-organizational-agi","13":"podcast-topic-knowledge-management","14":"entry"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v18.2.1 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>LLM? More Like &quot;Limited&quot; Language Model with Emily M. Bender, University of Washington - UX Magazine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/uxmag.com\/podcast\/llm-more-like-limited-language-model-with-emily-m-bender-university-of-washington\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"LLM? More Like &quot;Limited&quot; Language Model with Emily M. Bender, University of Washington\" \/>\n<meta property=\"og:description\" content=\"As a co-author of the often cited (and debated) Stochastic Parrots paper from 2021, Emily M. Bender is a staunch critic of large language models (LLMs). Having worked in computational linguistics for more than 20 years, Emily&#039;s deep understanding of LLM mechanics has her questioning many of the emerging use cases we see in the world. 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